Variable-step-size-LMS-algorithm

对医学细胞图像进行中值加权滤波的matlab程序。(Medical cell images in value-weighted filter matlab program.)

this is very good for master students and use in communication system course

code for pan tompkin algorithm CORRECTED VERSION

关于马尔科夫的几个例题仿真，能够帮助初学者了解如何仿真(Several examples of Markov simulation can help beginners understand how to simulate.)

BOC(1,1)的编码，BOC(1,1)的功率谱密度，可以完美运行，对做BOC编码的人很有用途(BOC (1,1) code, BOC (1,1) power spectral density, can run perfectly on the very people who make use of BOC coding)

运用matlab环境，编写仿真程序，采用Radon计算线性调频信号的斜率(Use matlab environment simulation program written using Radon calculate the slope of the linear FM signal)

设计一个AC/DC/AC变频器设计，具体参数如下：三相交流输入380V/50Hz，三相输出交流电压500V/400Hz,THD<5 ,负载为一般的阻感负载，功率5000W。(Design of a AC/DC/AC converter design, the specific parameters are as follows: Three-phase AC input 380V/50Hz, three-phase output AC voltage 500V/400Hz, THD < 5 , as a general resistive load inductive load, power 5000W.)

运动目标模拟器相参性分析，分析了基于数字射频存储器(DRFM)的运动目标模拟器(MTS)相参性。由于DRFM延时的离散性,引起了MTS输出信号相位的改变,破坏了信号的相参性,使MTS输出信号频谱发生变化,不仅使谱线位置移动,而且还产生了附加的寄生谱线。分析结果表明,延时更新率(Fc)决定了谱线间隔,并通过sinc函数决定谱线的幅度,而雷达信号频率与所模拟目标的速度共同决定谱线的移动。 (Moving Target Simulator Coherent Analysis, Moving Target Simulator (MTS)-based digital radio frequency memory (DRFM) coherent. Due to the the DRFM delay discrete MTS output signal of the phase change is caused, the destruction of the phase of the signal parameters, the MTS output signal spectrum changes, not only the spectral line position, but also generates additional parasitic spectral line. The analysis results show that the delay update rate (Fc) determines the spectral interval by sinc function determines the amplitude of the spectrum, while the radar signal frequency and speed together determine the movement of the spectral lines of the simulated target.)

将年月日时分秒转换为某一基准年开始的总秒数(The date(YYYY，MM，DD，hh，mm，ss) is converted to a base year of the total number of seconds.)

Blind Source Separation (BSS) is a statistical approach to separate individual signals from an observed mixture of a group of signals. BSS relies on only very weak assumptions on the signals and the mixing process and this blindness enables the technique to be used in a wide variety of situations.